code: def randint(lower, upper, random_state):
      """
      Generate a random integer from `lower` (inclusive) to `upper` (exclusive).
      lower: an int that represent an lower bound
      upper: an int that represent an upper bound
      random_state: an object of numpy.random.RandomState
      """
      return random_state.randint(lower, upper)
  
file_path: auptimizer/src/aup/compression/torch/parameter_expressions.py
imports: import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: randint(lower, upper, random_state) and returns: random_state